Designing Tomorrow's Category-Level Object Recognition Systems: An International Workshop

然而，尽管经过40年的研究，今天的识别系统在很大程度上仍然无法处理典型图像中常见物体所呈现的异常广泛的外观。 我们的宗旨是，通过将计算机视觉社区开发的复杂几何和物理图像形成模型与统计学习理论和理论计算机科学社区开发的数据分布和分类程序的有效模型相结合，可以实现自动目标识别系统的设计和实现的根本性新进展。 我们建议举办一个为期三天的研讨会，将汇集对物体识别的基础和应用方面感兴趣的杰出计算机视觉，机器学习和计算几何研究人员，以及行业和资助机构的代表。其目标是：（1）促进创建一个具有通用数据集和评估程序的国际对象识别社区;（2）绘制最新技术状态并确定主要的开放问题，设计问题和跨学科研究机会;（3）阐明全球范围内对对象识别技术的工业和社会需求。 讲习班将于2003年9月在西西里的陶尔米纳举行。美国国家科学基金会的支持是寻求部分资助25名美国学术研究人员的旅行讲习班。已向工业界和INRIA（法国）寻求额外资金，以支持非美国与会者和研讨会的其余费用。 智力优势和更广泛的影响：拟议的研讨会旨在为以下方面的发展奠定基础：（a）视觉对象识别系统的统一设计原则，从而产生一套全新的功能，（B）机器学习和计算几何学的基本进展-对于这些学科来说有些不寻常-输入数据的几何和物理起源得到很好的理解，但仍难以找到一个适当的特征目录来表示这些特征，以及（c）在影响力大的应用领域成功部署和评估所开发的技术。 特别是，研讨会将解决与以下直接相关的基本科学问题：（1）生物医学成像、人机接口、电信和交通等领域的工业需求，以及（2）国家战略利益的应用，例如监控和安全、目标识别和监测。 讲习班的一项具体成果将是一份报告，概述讲习班的结论，并通过万维网向广大社区提供。

Despite 40 years of research, however, today's recognition systems are still largely unable to handle the extraordinarily wide range of appearances assumed by common objects in typical images. Our tenet is that fundamental new advances in the design and implementation of automated object recognition systems can be achieved by integrating the sophisticated geometric and physical image formation models developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical learning theory and theoretical computer science communities. We propose to hold a three-day workshop that will bring together prominent computer vision, machine learning, and computational geometry researchers interested in the fundamental and applicative aspects of object recognition, as well as representatives of industry and funding agencies. Its goals are (1) to promote the creation of an international object recognition community, with common datasets and evaluation procedures, (2) to map the state of the art and identify the main open problems, design issues, and interdisciplinary research opportunities, and (3) to articulate the industrial and societal needs for object recognition technology worldwide. The workshop will be held in Taormina, Sicily, in September 2003. NSF support is sought to partially fund the travel of 25 US academic researchers to the workshop. Additional funds have been solicited from industry and INRIA (France) to support non-US participants and the rest of the workshop expenses. Intellectual Merit and Broader Impacts: The proposed workshop is intended to set the stage for the development of (a) unified design principles for visual object recognition systems, leading to a completely new set of capabilities, (b) fundamental advances in machine learning and computational geometry in a setting---somewhat unusual for these disciplines---where the geometric and physical origins of the input data are well understood, but an appropriate catalog of features for representing them remains elusive, and (c) the successful deployment and evaluation of the developed technology in high-impact application domains. In particular, the workshop will address fundamental scientific issues that are directly relevant to (1) industrial needs in areas as diverse as biomedical imaging, human-computer interface, telecommunications, and transportation, and (2) applications of strategic national interest such as surveillance and security, target recognition, and monitoring. A concrete outcome of the workshop will be a report outlining its conclusions and available to the community at large via the World Wide Web.